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Comment on "Balancing Energy Supply and Demand"

John Foster

Year: 1981
Volume: Volume 2
Number: Number 3
DOI: 10.5547/ISSN0195-6574-EJ-Vol2-No3-3
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Abstract:
While a number of energy studies assume a national or regional perspective, just a few attempt a global approach, and these are typically concerned with the implications for industrialized nations. More-over, very few published studies look at the long-term global scene as far ahead as even the year 2000 (e.g., WAES and Exxon's World Energy Outlook), and only one to my knowledge extends its perspective to 2020 (Conservation Commission of the World Energy Conferences, 1977). So the long-awaited IIASA report, (as summarized here by Paul Basile), represents a landmark.



Randomly Modulated Periodic Signals in Australias National Electricity Market

John Foster, Melvin J. Hinich and Phillip Wild

Year: 2008
Volume: Volume 29
Number: Number 3
DOI: 10.5547/ISSN0195-6574-EJ-Vol29-No3-6
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Abstract:
In this article, we use half hourly spot electricity prices and load data for the National Electricity Market (NEM) of Australia for the period from December 1998 to August 2007 to test for randomly modulated periodicity. In doing so, we apply signal coherence spectral analysis to the time series of half hourly spot prices and megawatt-hours (MWh) load demand from 7/12/1998 to 31/08/2007 using the FORTRAN 95 program developed by Hinich (2000). We detect relatively steady weekly and daily cycles in load demand but relatively more unstable cycles in prices.



Impact of Carbon Prices on Wholesale Electricity Prices and Carbon Pass-Through Rates in the Australian National Electricity Market

Phillip Wild, William Paul Bell, and John Foster

Year: 2015
Volume: Volume 36
Number: Number 3
DOI: 10.5547/01956574.36.3.pwil
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Abstract:
This paper investigates the effect of a carbon price on wholesale electricity prices and carbon-pass-through rates in the states comprising the Australian National Electricity Market (NEM). The methodology utilize an agent-based model, which contains many features salient to the NEM including intra-state and inter-state transmission branches, regional location of generators and load centres and accommodation of unit commitment features. The model uses a Direct Current Optimal Power Flow (DC OPF) algorithm to determine optimal dispatch of generation plant, power flows on transmission branches and wholesale prices. The results include sensitivity analysis of carbon prices on wholesale prices and carbon pass-through rates for different states within the NEM.



Testing for Market Integration in the Australian National Electricity Market

Rabindra Nepal and John Foster

Year: 2016
Volume: Volume 37
Number: Number 4
DOI: 10.5547/01956574.37.4.rnep
View Abstract

Abstract:
The National Electricity Market was established in 1998 as a response to the overall liberalization and restructuring of the Australian electricity sector. The wholesale market integration effects of this establishment, however, remain to be systematically examined. We use econometric techniques based on pairwise unit root tests, cointegration analysis and a time varying coefficient model to study the extent of market integration in the physically interconnected regional markets based on daily electricity spot prices. The results from the pairwise unit root tests provide mixed evidence of price convergence while cointegration analysis does not reject the absence of persistent price differences across the physically interconnected regions. The results from the time-varying filtered coefficient model suggest that full market integration has not been achieved yet. We empirically show the presence of significant network losses and constraints across the interregional interconnectors in the NEM. Our findings suggest that convergence in generation and network ownership, coupled with harmonisation of network regulation and regulatory institutional framework, will be increasingly important factors in improving wholesale market integration across all energy-only markets as they experience an increase in the share of renewable energy.





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